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Big Earth Data Volume 5, 2021 - Issue 1: Analytics of Big Geosocial Media and Crowdsourced Data
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Research Articles

The visual analytics of big, open public transport data – a framework and pipeline for monitoring system performance in Greater Sydney

Oliver Locka City Analytics Lab, Faculty of Built Environment, University of New South Wales, Sydney, Australia;b Expanded Perception and Interaction Centre, Faculty of Art & Design, University of New South Wales, Sydney, AustraliaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4165-1232
ORCID Icon,
Tomasz Bednarzb Expanded Perception and Interaction Centre, Faculty of Art & Design, University of New South Wales, Sydney, AustraliaORCID Iconhttps://orcid.org/0000-0001-9240-0922
ORCID Icon &
Christopher Pettita City Analytics Lab, Faculty of Built Environment, University of New South Wales, Sydney, AustraliaORCID Iconhttps://orcid.org/0000-0002-1328-9830
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Pages 134-159 | Received 14 Jan 2020, Accepted 14 Apr 2020, Published online: 08 Jul 2020

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Tianyou Chu, Yumin Chen, Heng Su, Zhenzhen Xu, Guodong Chen & Annan Zhou. (2022) A news picture geo-localization pipeline based on deep learning and street view images. International Journal of Digital Earth 15:1, pages 1485-1505.
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Tong Zhang, Wei He, Jing Huang, Zhenxuan He & Jing Li. (2022) Interactive visual analytics of moving passenger flocks using massive smart card data. Cartography and Geographic Information Science 49:4, pages 354-369.
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Somayeh Dodge & Evgeny Noi. (2021) Mapping trajectories and flows: facilitating a human-centered approach to movement data analytics. Cartography and Geographic Information Science 48:4, pages 353-375.
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